書(shū)名： Machine Learning With Go
作者名： Daniel Whitenack
本章字?jǐn)?shù)： 205字
更新時(shí)間： 2021-07-08 10:37:29

Creating data repositories for data versioning

If you followed the local installation of Pachyderm specified in the Pachyderm documentation, you should have the following:

Kubernetes running in a Minikube VM on your machine
The pachctl command line tool installed and connected to your Pachyderm cluster

Of course, if you have a production cluster running in a cloud, the following steps still apply. Your pachctl would just be connected to the remote cluster.

We will be demonstrating data versioning functionality with the pachctl Command-line Interface ( CLI) tool below (which is a Go program). However, as mentioned above, Pachyderm has a full-fledged Go client. You can create repositories, commit data, and much more directly from your Go programs. This functionality will be demonstrated later in Chapter 9, Deploying and distributing Analyses and Models.

To create a repository of data called myrepo, you can run this code:

$ pachctl create-repo myrepo

You can then confirm that the repository exists with list-repo:

$ pachctl list-repo
NAME CREATED SIZE 
myrepo 2 seconds ago 0 B

This myrepo repository is a collection of data that we have defined and is ready for housing-versioned data. Right now, there is no data in the repository, because we haven't put any data there yet.

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Machine Learning With Go

Creating data repositories for data versioning